class_docstr: Base class for interfacing pmdarima.
class_docstr_tok: ["Base","class","for","interfacing","pmdarima","."]
docstr: Get fitted parameters.
  
  Returns
  -------
  fitted_params : dict
docstr_tok: ["Get","fitted","parameters",".","Returns","--","--","--","-","fitted_params",":","dict"]
code: def _get_fitted_params(self):
      """Get fitted parameters.
  
      Returns
      -------
      fitted_params : dict
      """
      names = self._get_fitted_param_names()
      params = self._get_fitted_params_arima_res()
      fitted_params = {
          str(name): param for name, param in zip(names, params)
      }
  
      if hasattr(self._forecaster, "model_"):  # AutoARIMA
          fitted_params["order"] = self._forecaster.model_.order
          fitted_params[
              "seasonal_order"
          ] = self._forecaster.model_.seasonal_order
          res = self._forecaster.model_.arima_res_
      elif hasattr(self._forecaster, "arima_res_"):  # ARIMA
          res = self._forecaster.arima_res_
      else:
          res = None
  
      for name in ["aic", "aicc", "bic", "hqic"]:
          fitted_params[name] = getattr(res, name, None)
  
      return fitted_params
  
file_path: sktime/sktime/forecasting/base/adapters/_pmdarima.py
imports: import pandas
  from sktime.datatypes._utilities import get_slice
  from sktime.forecasting.base import BaseForecaster
  from sktime.forecasting.base._base import DEFAULT_ALPHA
label_desc: Use image node_id 9 for calling the _PmdArimaAdapter obj's underlying member method code with example usage: obj._get_fitted_params() and returns: fitted_params